Wednesday, May 8, 2024

[DMANET] “AIROYOUNG DISSERTATION AWARD” 2024 - – Call for Applications for a Ph.D. thesis award

*Call for Applications for the Ph.D. Thesis*
* "AIROYOUNG DISSERTATION AWARD" 2024*

*AIROYoung* (AY) announces the *"AIROYoung Dissertation Award 2024"*, for
the best doctoral thesis discussed in Operations Research at an Italian
university, during the period July 1, 2023 – June 30, 2024.

*PROCESS OF SELECTION, EVALUATION, AND PRESENTATION OF THE FINALIST THESES*


To evaluate the applications that will be received, AY will identify jurors
external to its board (current and previous), chosen among (former) members
and/or collaborators of AY.


In particular, the selection process will be divided into the following
three phases.

1. *A first committee of reviewers* will carry out a *preliminary
evaluation* of the doctoral theses. For each thesis, two reviewers will
each create a report justifying a score of up to 100 points, according to
the criteria indicated below:

- Pertinence of the thesis topic(s) (maximum 15 points)
- Scientific contribution (maximum 35 points)
- Impact and interdisciplinarity (maximum 25 points)
- Quality of the publications taken from the thesis (maximum 15 points)
- Writing quality (maximum 10 points)


2. Based on the same criteria, a *second committee* will receive all the
reports of all the reviewers to *compare all the theses overall*, thus
obtaining a* definitive evaluation* and a *ranking*. At most, the first
four theses in the ranking will be named finalists and will access the
special session to be held during the International Conference on
Optimization and Decision Science – ODS2024
<https://www.airoconference.it/ods2024/>.


3. During the special session at ODS 2024, a *third committee* will
evaluate the *presentation *of each finalist thesis, awarding *3 bonus
points* to the best presentation.

*ANNOUNCEMENT OF THE WINNING THESIS*


The winning thesis will be the one with the highest overall score and will
be announced during ODS 2024.
In case of a tie, the one with the highest score net of the bonus will win.
In case of a further tie (i.e., if the first two theses in the ranking do
not obtain the presentation bonus), there will be an ex aequo, and the
prize will be divided.

*PARTICIPATION REQUIREMENTS*

To be able to participate, you must:

- Have discussed a doctoral thesis in Operations Research between
01/07/2023 and 30/06/2024 at an Italian university;
- Be an AIRO member for the calendar year 2024 or 2025. Having
participated in ODS 2023 or being registered to ODS 2024 grants automatic
AIRO membership.

Not being registered for ODS 2024 does not represent an exclusion criterion
from the call. Even if a finalist does *not *participate at ODS 2024,
presenting during the conference will still be mandatory. In the event of
an impossibility to attend in person, a remote presentation will be
possible. To effectively organise the session, the finalists not already
registered for ODS 2024 will be directly contacted by the AIROYoung board.


*HOW TO APPLY*

The application form must be submitted by filling in the following Google
Form
<https://docs.google.com/forms/d/e/1FAIpQLSe8am1aIo5DM1yZ1Azj7Jj914Nb4EsZAy56RKMVDIGsfUhzRw/viewform>

*Deadline to participate: May 31, 2024.*

Specifically, in addition to personal data and a contact address, anyone
wishing to apply must attach the following documents (all in PDF format):

- a copy of the* doctoral thesis*;
- a *summary *of the thesis (in English; font-size: 11pt; maximum
length: 5 pages, bibliographical references excluded);
- a copy of their *curriculum vitae* (in English; also indicate the date
of the defence of the thesis, taken place or expected by June 30, 2024);
- if any, a copy of each publication taken from the thesis;
- a *proof of the AIRO membership* for the calendar year 2024 or 2025,
such as:


1. the certificate of participation in the ODS 2023 conference (the
registration fee for the conference included the AIRO membership fee for
2024);
2. the registration receipt for the ODS 2024 conference (the
registration fee for the conference includes the AIRO membership fee for
2025);
3. the receipt of the payment made to AIRO to become a member in 2024 or
2025.


*AWARD*

Each finalist will receive a certificate. The winning person will also
receive a cash prize of €250. In case of an ex aequo, the prize will be
divided.


For more information, contact the AY board:
aydissertationaward2024@gmail.com

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[DMANET] Dutch Intercity Seminar on Optimization

Dear colleagues,

This is the final call for participation in the

Intercity Seminar of the Dutch Seminar on Optimization,

to be held on

May 23, 2024, at the Vrije Universiteit Amsterdam.

The Dutch Seminar on Optimization takes place once a month online, and this
is its first in-person event of 2024. It aims to bring together researchers
from the Netherlands and beyond, who are interested in optimization in a
broad sense. It has a focus on the theoretical foundations of discrete and
continuous optimization. This event provides an opportunity to foster
collaboration, present research and exchange ideas in an informal and
relaxed atmosphere.

Invited speakers are

Georgina Hall, INSEAD, Paris,

and

Alexandra Lassota, Eindhoven University of Technology.

Georgina Hall will give a talk about Polynomial Optimization Techniques for
Machine Learning and Supply Chain Management, and Alexandra Lassota will
talk about A convoluted situation: fine-grained algorithms and complexity
through the lens of min-plus convolution. You can find the full abstracts
on the website.

The website of the workshop is available at
https://vu.nl/en/events/2024/dutch-intercity-seminar-on-optimization. There
you will find all available information and a registration form to
participate. Registration is free and not necessary to participate, but
appreciated for catering purposes. There is also the possibility to
register a lightning talk and the possibility to join an optional dinner,
in which case we ask you to register at or before May 12.

We hope to see you in Amsterdam!
Tim Oosterwijk and Leen Stougie

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[DMANET] NCMA Call For Papers

Apologies for multiple postings.

**THIRD CALL FOR PAPERS**

14th International Workshop on Non-Classical Models of Automata and Applications (NCMA 2024)

August 12-13, 2024, Göttingen, Germany

Website: https://ncma2024.uni-goettingen.de/
NCMA workshop series website: https://www.cs.uni-potsdam.de/NCMA/

NCMA 2024 is the 14th edition in a series of events established in 2009. The workshop welcomes research papers that contain original contributions on classical and non-classical models of automata and applications and related subjects, including descriptional complexity of formal systems. Many models of automata and grammar-like structures are the natural objects of theoretical computer science. They are studied from different points of view in various areas, both as theoretical concepts and as formal models for applications. As such, the aim of the workshops on Non-Classical Models of Automata and Applications is to provide a forum for researchers who work on different aspects of classical and non-classical models of automata and grammars to exchange and develop novel ideas.

In order to emphasize the workshop character of NCMA 2024, we also invite short contributions that report on recent results (unpublished, or published in other venues) or ongoing work in addition to full papers. However, in contrast to the accepted regular (full) papers that will be published in the official proceedings (EPTCS), the accepted short papers will appear in a separate technical report.

Alongside the regular programme of contributed (full or short) talks, the workshop will also host two invited talks (see below).

**Venue**

The 14th edition of NCMA will be held at the historic University of Göttingen in Germany, August 12–13, 2024, collocated with the 28th International Conference on Developments in Language Theory (DLT 2024, https://dlt2024.uni-goettingen.de/ ).

It is hosted by the TCS research group of Florin Manea. For more information, see https://ncma2024.uni-goettingen.de/

**Important Dates**

Full papers:
Deadline for submission: 17 May 2024 (23:59 AOE)
Notification: 30 June 2024
Final Version: 12 July 2024

Short papers:
Deadline for submission: 7 July 2024 (23:59 AOE)
Notification: 19 July 2024
Final version: 26 July 2024.

NCMA 2024: 12-13 August 2024

**Invited Speakers**

Martin Kutrib (Gießen, Germany, unifying speaker with DLT 2024)
Robert Mercas (Loughborough, UK)

**Program Committee**

Marcella Anselmo (Salerno, Italy)
Péter Battyányi (Debrecen, Hungary)
Martin Berglund (Umeå, Sweden)
Erzsébet Csuhaj-Varjú (Budapest, Hungary)
Joel Day (Loughborough, UK)
Pamela Fleischmann (Kiel, Germany)
Tore Koß (Göttingen, Germany, chair)
Zbyněk Křivka (Brno, Czech Republic)
Andreas Malcher (Gießen, Germany)
Florin Manea (Göttingen, Germany, chair)
Victor Mitrana (Madrid, Spain)
Giovanni Pighizzini (Milano, Italy, chair)
Dana Pardubska (Bratislava, Slovak Republic)
Luca Prigioniero (Loughborough, UK)
Stefan Siemer (Göttingen, Germany)
Bianca Truthe (Gießen, Germany)
Brink Van Der Merwe (Stellenbosch, South Africa)
Petra Wolf (Bordeaux, France)


**Publication**

The Proceedings of NCMA 2024 will be published in the EPTCS series. A journal special issue (in the Journal of Automata, Languages and Combinatorics, https://jalc.de/) is planned.

**Submission Guidelines**

Authors are invited to submit papers presenting original and unpublished research. The proceedings of NCMA 2024 will be published in the EPTCS series.

Please submit your paper here:
https://easychair.org/conferences/?conf=ncma2024 .

Submitted full papers should not exceed 16 pages excluding bibliography, the title page (containing only the title, authors, affiliations, abstract), and a potential appendix (see below), and must follow the EPTCS LaTeX-style (available via https://info.eptcs.org/ ).

Proofs omitted from the main part of the paper due to space constraints should be put into an appendix, to be read by the program committee members at their discretion.

Further questions about submissions should be emailed to ncma2024@easychair.org.

Submitted short papers should not exceed 8 pages, following the same instructions as above.

Typical topics for the NCMA worskhops include (but are not limited) to :

formal models inspired by linguistics, bio-computing, text processing, document engineering, self-assembly, etc.,
bio-inspired models of automata and generative devices,
cellular automata,
forgetting automata and restarting automata,
automata with additional resources,
regulated rewriting/automata,
networks of automata or generative devices,
models of cooperation and communication,
quantum automata,
automata in the framework of membrane computing,
complexity aspects for formal systems.

Other related topics, in particular, contributions dealing with questions on classical automata and generative devices are also welcome.

**Sponsors (common with DLT 2024)**

The German Research Foundation (DFG).

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Tuesday, May 7, 2024

[DMANET] WAOA 2024 - Call For Papers

===============================================================

The Workshop on Approximation and Online Algorithms (WAOA) 2024
5-6 September 2024
https://algo-conference.org/2024/waoa/

Paper submission deadline: 3 July 2024, 23:59 (AoE) via
https://easychair.org/conferences/?conf=waoa2024

=================================================================


SCOPE

Approximation and online algorithms are fundamental tools to deal with
computationally hard problems and problems in which the input is gradually
disclosed over time. Both kinds of problems arise from a large number of
applications in a variety of fields. The Workshop on Approximation and
Online Algorithms (WAOA) focuses on the design and analysis of
approximation and online algorithms. It also covers experimental methods
used to design and analyze efficient approximation and online algorithms.

WAOA 2024 is co-located with ALGO 2024, which also hosts ESA, ALGOCLOUD,
ALGOWIN, ATMOS, IPEC, and WABI. ALGO 2024 will take place at Royal
Holloway, University of London in Egham, United Kingdom.


IMPORTANT DATES

- Paper submission deadline: 3 July 2024, 23:59 AoE
- Notification: 31 July 2024
- Camera-ready version: 9 August 2024
- Conference: 5-6 September 2024


TOPICS

Papers are solicited in all research areas related to approximation and
online algorithms, including, but not limited to:

- Algorithmic game theory
- Algorithmic trading
- Coloring and partitioning
- Competitive analysis
- Computational advertising
- Computational finance
- Cuts and connectivity
- FPT-approximation algorithms
- Geometric problems
- Graph algorithms
- Inapproximability results
- Mechanism design
- Network design
- Packing and covering
- Paradigms for the design and analysis of approximation and online
algorithms
- Resource augmentation
- Scheduling problems


SUBMISSION GUIDELINES

Authors are invited to submit an extended abstract or full paper of at most
10 pages excluding the title page, references, and an optional appendix.
The submission should be typeset using a 10-point or larger font in a
single-column format with ample spacing throughout and 2cm margins all
around on A4-size paper. Proofs omitted due to space constraints must be
placed in an appendix. This appendix can even comprise an entire full
version of the paper. The appendix will be read by the program committee
members at their discretion. In particular, appendices of accepted papers
are not going to be published in the proceedings. The main part of the
submission should therefore contain a clear technical presentation of the
merits of the paper, including a discussion of the paper's importance
within the context of prior work and a description of the key technical and
conceptual ideas used to achieve its main claims.

By submitting a paper the authors acknowledge that in case of acceptance at
least one of the authors must register at ALGO 2024, attend the conference
onsite and present the paper. The program committee may award a Best Paper
Award to one of the accepted papers.

The conference will employ a lightweight double-blind reviewing process.
Submissions should not reveal the identity of the authors in any way. In
particular, authors' names, affiliations, and email addresses should not
appear at the beginning or in the body of the submission. Authors should
ensure that any references to their own related work is in the third person
(e.g., not "We build on our previous work …" but rather "We build on the
work of …"). The purpose of the double-blind reviewing is to help PC
members and external reviewers come to an initial judgement about the paper
without bias, not to make it impossible for them to discover the authors if
they were to try. Nothing should be done in the name of anonymity that
weakens the submission or makes the job of reviewing the paper more
difficult. In particular, important references should not be omitted or
anonymized. In addition, authors should feel free to disseminate their
ideas or draft versions of their paper as they normally would. For example,
authors may post drafts of their papers on the web, submit them to arXiv,
and give talks on their research ideas.

When submitting a paper, authors will be asked to indicate Conflict of
Interest (CoI) with PC members. A CoI is limited to the following
categories:

- Family member or close friend.
- Ph.D. advisor or advisee (no time limit), or postdoc or undergraduate
mentor or mentee within the past 5 years.
- Person with the same affiliation.
- Involved in an alleged incident of harassment. (It is not required that
the incident be reported.)
- PC member owes author a favor (e.g., recently requested a reference
letter).
- Frequent or recent collaborator (within last 5 years) who you believe
cannot objectively review your work.

Submissions authored or co-authored by members of the program committee are
allowed, but will be subject to a stricter review process.


PAPER SUBMISSION AND PROCEEDINGS

Papers should be submitted electronically via the EasyChair submission
system: https://easychair.org/conferences/?conf=waoa2024
The WAOA 2024 proceedings will be published by Springer in the Lecture
Notes in Computer Science (LNCS).


PROGRAM COMMITTEE

- Spyros Angelopoulos, CNRS and Sorbonne University, FR
- Antonios Antoniadis, University of Twente, NL
- Sujoy Bhore, IIT Bombay, IN
- Marcin Bieńkowski, University of Wrocław, PL (co-chair)
- Hans-Joachim Böckenhauer, ETH Zürich, CH
- Maike Buchin, Ruhr University Bochum, DE
- Panagiotis Charalampopoulos, Birkbeck, University of London, UK
- Marek Chrobak, University of California, Riverside, US
- Christian Coester, University of Oxford, UK
- Matthias Englert, University of Warwick, UK (co-chair)
- Naveen Garg, IIT Delhi, IN
- Meng He, Dalhousie University, CA
- Martin Hoefer, Goethe Universität, DE
- Jochen Koenemann, University of Waterloo, CA
- Shi Li, Nanjing University, CN
- Alantha Newman, Université Grenoble Alpes, FR
- Zeev Nutov, The Open University of Israel, IL
- Kevin Schewior, University of Southern Denmark, DK
- Chris Schwiegelshohn, Aarhus University, DK
- Hadas Shachnai, Technion, IL
- Joachim Spoerhase, University of Sheffield, UK
- David Wajc, Technion, IL
- Prudence Wong, University of Liverpool, UK
- Meirav Zehavi, Ben-Gurion University, IL


STEERING COMMITTEE

- Evripidis Bampis, Sorbonne Université, FR
- Thomas Erlebach, Durham University, UK
- Christos Kaklamanis, University of Patras, GR
- Nicole Megow, Universität Bremen, DE
- Laura Sanità, Bocconi University, IL
- Martin Skutella, Technische Universität Berlin, DE
- Roberto Solis-Oba, University of Western Ontario, CA

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[DMANET] ICSC CFP (Hybrid Conference Co-Sponsored by IEEE ): The Fourth Intelligent Cybersecurity Conference, 17–20 September, 2024 | Valencia, Spain.

[Apologies if you got multiple copies of this invitation]

The Fourth Intelligent Cybersecurity Conference (ICSC2024)

Hybrid Event

https://www.icsc-conference.org/2024/

17–20 September, 2024 | Valencia, Spain.

Technically Co-Sponsored by IEEE Spain Section

*ICSC 2024 CFP:*

In today's world, connected systems, social networks, and mobile
communications create a massive flow of data, which is prone to
cyberattacks. This needs fast and accurate detection of cyber-attacks.
Intelligent systems and Data analytics are important components when issues
pertaining to effective security solutions become the subject of
discussion. This is because there is an impending need for high volume and
high velocity data from different sources to detect anomalies as soon as
they are discovered. This will help reduce significantly the vulnerability
of the systems as well as improve their resilience to cyber Attacks. The
capability to process large volumes of information at real time through
utilization of tools for data analytics has many advantages vital for
analysis of cybersecurity systems. Moreover, the data collected from
sophisticated intelligent systems, cloud systems, networks, sensors,
computers, intrusion detection systems could be used to identify vital
information. This information could be used to detect how vulnerable the
systems are to risk factors, and so effective cyber security solutions can
be developed. In addition to that, the utilization of data analytics tools
in the cybersecurity field gives new insights through considering factors
such as zero-day attack detection, real time analysis, resource constrained
data processing among others.

The Intelligent Cybersecurity Conference (ICSC) addresses the use of
advanced intelligent systems in providing cybersecurity solutions in many
fields, and the challenges, approaches, and future directions. We invite
the submission of original papers on all topics related to Intelligent
Systems for Cybersecurity, with special interest in but not limited to:

- Intelligent systems for effective detection of cyber-attacks
- Advanced Intelligent systems and data analytics for Cloud/Edge systems
security
- Malware detection using intelligent systems Vulnerability assessment
- Intelligent systems for intrusion detection in Internet of Things
(IoT) systems
- Network forensics using intelligent systems and data analytics
- Data Analytics for privacy-by-design in smart health
- Datasets, benchmarks, and open-source packages
- Recourse efficient deep learning
- Adversarial Machine learning and Backdoor Attacks
- Blockchain Systems for Cyber Security
- Trustworthy AI Systems
- Intelligent Systems for Misinformation Detection

*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the ICSC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers up to 8 pages and must follow the IEEE paper format. Please include
up to 7 keywords, complete postal and email address, and fax and phone
numbers of the corresponding author. Authors of accepted papers are
expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers
will be accepted as short papers. Length of short papers can be between 4
to 6 pages.

*Important Dates:*

- *Paper submission deadline: May 15, 2024 *
- Notification of acceptance: July 25, 2024
- Camera-ready Submission: August 5, 2024

*Contact:*

Please send any inquiry on ICSC to: <emergingtechnetwork@gmail.com>
info@iccns-conference.org

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[DMANET] PhD position in Computational Complexity, Lisbon, Portugal

The ERC project HoFGA (The Hardness of Finding Good Algorithms) in the
field of *Computational Complexity*, is looking to hire one PhD student.

The position would begin in the Fall semester of 2024.

Candidates are expected to have a MSc in Mathematics, with emphasis on
Discrete Mathematics, Combinatorics, etc, or Computer Science, with
emphasis on Theoretical Computer Science.

Your advisor will be Bruno Loff: https://brunoloff.wordpress.com

The position will be hosted on the Department of Mathematics of the
Faculty of Sciences of the University of Lisbon.

The department is currently hosting the HoFGA project, which means that
during your PhD we will have a team of 3-6 people working in
Computational Complexity. The project will pay for your salary, at the
level of MSc research assistant. You will be expected to TA for the
course Computational Complexity, but no other.

Interested candidates please send an email to bruno.loff@gmail.com, with
a statement of intent/letter of motivation, a CV including favorite
courses, grades, and a 2-4 paragraphs explaining your MSc thesis. Please
have one or two of your favorite teachers send a recommendation letter.

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[DMANET] Webinar by M. Grazia Speranza jointly organized by LOG-UFPB and AIROYoung – IDWM May12

Dear all,

AIROYoung is glad to announce the *fifth* webinar jointly organized with
the Logistics & Optimization Group
<https://www.linkedin.com/showcase/log-ufpb/?trk=affiliated-pages&originalSubdomain=br>
of
the Universidade Federal da Paraíba (LOG-UFPB) in João Pessoa, Brazil.

The webinar will be on *Monday, May 13th, at 17:00 GMT+2* (Italian time) *or
12:00 GMT-3* (Brazilian time).

The speaker is *M. Grazia Speranza* (University of Brescia), and the titles
of her *two talks* are "*Optimal location of charging stations for electric
vehicles*" & "*Women: leaders against all odds*".
Indeed, this time, we will have a seminar about one of her latest research
and another to celebrate the *International Day of Women in Mathematics*.
This event has also been added to the official page of May12
<https://may12.womeninmaths.org/node/1233>.

You can find more details in the abstracts below or in the figures attached.

If you want to attend the webinar, you can complete this form
<https://forms.gle/YHirKV2FpWR8tkDH6> to receive the corresponding Google
Meet link. Please note that the maximum number of attendees is 100.

Hope to see you there!

Best,

The AIROYoung board & LOG-UFPB

------------------------------------
*Title 1)*
Optimal location of charging stations for electric vehicles

*Abstract 1)*
A massive use of electric vehicles is nowadays considered to be a key
element of a sustainable transportation policy and the availability of
charging stations is a crucial issue for reaching this goal. Charging
stations in an urban area have to be deployed in such a way that they can
satisfy a demand that may dramatically vary in space and time. In this
paper we present an optimization model for the location of charging
stations that takes into account the main specific features of the problem,
in particular the different charging technologies, and their associated
service time, and the fact that the demand depends on space and time. To
measure the importance of incorporating the time dependence in an
optimization model, we also present a simpler model that extends a
classical location model and does not include the temporal dimension. A
worst-case analysis and extensive computational experiments show that
ignoring the temporal dimension of the problem may lead to a substantial
amount of unsatisfied demand. This presentation is based on a paper
co-authored with Carlo Filippi, Gianfranco Guastaroba and Lorenzo Peirano.

*Title 2)*
Women: leaders against all odds

*Abstract 2)*
Women are underrepresented in high-level positions, in any hierarchical
organization. Although, at least in the so called developed countries,
equal rights are granted to men and women, still the gender gap exists. The
global gender gap is 69%, with no country at 100%. Several countries
experience small improvements, year-on-year, but in one third of the
countries the national index does not improve or worsens.
Nowadays several institutions and companies are committed to advancing
gender equality. However, the path towards an equitable society is still
long and requires awareness and individual commitment.
In this talk, I will briefly discuss the evolution of women rights and
overview some of the most common gender stereotypes women face during their
life, also referring to the growing body of literature that sheds light on
the reasons for the underrepresentation of women, in particular in the STEM
area. Finally, I will briefly discuss some directions to overcome the
stereotypes.

*Short Bio*
M. Grazia Speranza is full professor of Operations Research at the
University of Brescia, where she served as Dean of the Faculty of Economics
and Business and Deputy Rector. She is currently Past President of IFORS
and is a former President of EURO and of TSL.
Grazia's research is in the area of mixed integer programming and
combinatorial optimization, with a focus on applications to transportation
and logistics. Grazia is author of about 200 papers that appeared in
international journals and volumes. She has been plenary speaker at several
international conferences and member of the scientific committee of the
major international conferences in the field. She has been editor of
several international journals and is co-editor-in-chief of the series of
books 'EURO Advanced Tutorials in Operational Research'.
Grazia is cited in the "World's 2% Top Scientists" ranking. In 2019 she was
awarded with the Laurea honoris causa by the University of Freiburg,
Switzerland. She is a member of the Academy of Sciences of the University
of Bologna since 2021 and in 2023 was awarded as an Italian Knowledge
Leader by the Convention Bureau Italia.

--
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dell'Università della Calabria
<https://www.unical.it/5x1000>

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Re: [DMANET] OR66 Annual Conference "Global Challenges" Stream

***DEADLINE EXTENSION***

--- Apologies for any cross-posting ---

Dear Colleagues

I am currently organising, together with Shuya Zhong from the University of
Bath, the #GlobalChallenges stream as part of The OR Society Annual
Conference #OR66, which will take place at Bangor University (Wales, The
UK) this year, September 10 - 12, 2024.

The Annual Conference
<https://www.theorsociety.com/events/annual-conference/> is The OR
Society flagship
event and is known to be a great opportunity to network with both academic
and practitioners actively working in operational research and the broader
analytics realm. It is a time to meet again dear colleagues, look at new
partnerships, learn from operational researchers, be mesmerized by
real-world applications of OR and maybe even give your first presentation
as a PhD researcher!

The #GlobalChallenges stream welcomes a variety of #OR applications to
problems arising from critical issues of our times such as climate change,
food scarcity, global pandemics, energy crisis, etc. OR tools and
approaches (e.g., optimisation, simulation, stakeholder involvement,
systems thinking) are paramount in offering structured methods to tackle
these grand challenges arising in the real world.

The call for papers and posters is still open and now ends on *May 15, 2024*.
Please submit a title and abstract here
<https://theorsociety.eventsair.com/PresentationPortal/Account/Login?ReturnUrl=%2FPresentationPortal%2For66%2For66abstractportal>.
When
you are requested to choose a theme for your abstract, please select the
option "Global Challenges" from the drop-down menu.

For further information, feel free to email me.

Looking forward to seeing you in Bangor!

Kind regards

Dr Annunziata Esposito Amideo

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Monday, May 6, 2024

[DMANET] Extension for Call for papers Advancing Biocomplexity in Multidisciplinary Research

We invite researchers across various disciplines to contribute to this
dynamic landscape, exploring new directions that align with the latest
developments in biocomplexity, science and technology.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
Publisher: SPRINGER, ISSN / eISSN: 1951-6355 / 1951-6401,Web of Science
Core Collection


Submission deadline: 30 May 2024

Guest Editor:
Erika E. Rodriguez-Torres, email: erikart@uaeh.edu.mx

https://epjst.epj.org/epjst-open-calls-for-papers/2730-epj-st-special-issue-advancing-biocomplexity-in-multidisciplinary-research


Greetings

Erika Rodriguez

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[DMANET] iMETA 2024: The 2nd International Conference on Intelligent Metaverse Technologies & Applications, Dubai, UAE

*The 2nd International Conference on Intelligent Metaverse Technologies &
Applications (**iMETA2024)*

24–26 November, 2024 – Dubai, UAE

https://imeta-conference.org/

Over the years, technology has advanced significantly, and the creation of
the virtual environments (i.e., metaverse) is one of the latest innovations
that is set to revolutionize how we interact, process, and connect our
real-life to other lifes. With the metaverse, we are presented with a new
realm that blurs the lines between the physical and digital world,
providing a new space for communication, commerce, services, and
entertainment.

The International Conference on Intelligent Metaverse Technologies &
Applications (iMeta) is to bring together leading researchers, academics,
and industry experts to explore the various aspects of the distributive
metaverse, including its technologies, applications, and implications for
various industries. Attendees can expect to participate in exciting keynote
speeches, panel discussions, and presentations on cutting-edge research
field. Throughout the conference, there will be ample opportunities for
attendees to network, share their knowledge, and collaborate on future
initiatives that will drive the development of the metaverse forward. We
are confident that iMeta conference will inspire new ideas, foster
innovation, and spark collaborations that will push the boundaries of the
metaverse and its potential to change the world as we know it.

Overall, the iMETA conference aims to provide attendees with comprehensive
understanding of the communication, computing, and system requirements of
the metaverse. Through keynote speeches, panel discussions, and
presentations, attendees will have the opportunity to engage with leading
experts and learn about the latest developments and future trends in the
field. The conference will also provide ample opportunities for networking,
sharing knowledge, and collaborating with others in the metaverse community.

*List of Tracks:*

Researchers are encouraged to submit original research contributions in all
major areas, which include, but not limited to:

1. AI

2. Security and Privacy

3. Networking and Communications

4. Systems and Computing

5. Multimedia and Computer Vision

6. Immersive Technologies and Services

7. Storage and Processing

*Publication*

*IEEE is a technical sponsor of iMETA 2024*. All accepted papers in iMETA
2024 and the workshops co-located with it will be submitted to IEEEXplore,
dblp and Scopus for inclusion.

*Important Dates:*

- Papers due: May 30, 2024
- Acceptance notification: Sept 1, 2024
- Camera-ready paper due: Oct 10, 2024
- Workshop Proposal due: April 30, 2024

*Submission Guidelines:*

There are three categories of submission:

- *Long papers:* 7-8 pages.
- *Short papers:* 5-6 pages.

§ *Poster papers: 1-2 pages (undergraduate).*

*Submission Link: *https://easychair.org/my/conference?conf=imeta2024

*Organizing Committee*

* Steering Committee*

§ Albert Zomaya, University of Sydney, Australia

§ Giancarlo Fortino, University of Calabria, Italy

§ Ian F. Akyildiz, Truva Inc., USA

§ Merouane Debbah, TII, UAE

§ Nirwan Ansari, New Jersey Institute of Technology, USA

§ Salil Kanhere, UNSW Sydney, Australia

§ Walid Saad, Virginia Tech, USA

*General Co-Chair*

§ Farina (Nadia) Bhuiyan, Zayed University, UAE

§ Moayad Aloqaily, MBZUAI, UAE

*Program Co-Chairs*

§ Madhusanka Liyanage, University College Dublin, Ireland

§ Xiaokang Zhou, Shiga University, Japan

§ Vinayaka Pandit, IBM India Research Lab, India

§ Safa Otoum, Zayed University, UAE

--Regards,

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[DMANET] NFM 2024 — Call for Participation

NFM 2024 — Call for Participation

16th NASA Formal Methods Symposium (NFM)

June 4–6, 2024

NASA Ames Research Center, Moffett Field, California, United States

https://conf.researchr.org/home/nfm-2024

----------------------------------------------------------------------------

* There is no registration fee! *

The NASA Formal Methods (NFM) Symposium is an annual forum to foster collaboration between theoreticians and practitioners from NASA, other government agencies, academia, and industry, with the goal of identifying challenges and providing solutions towards achieving assurance for safety critical systems.

NFM 2024 will be held June 4—6, 2024 at the NASA Ames Research Center in Moffett Field, California, USA.

The symposium features presentation sessions on Advances in Solver technology, Formal Methods for Program Analysis and Verification, SMT-based Assurance of Behavioral Specifications, Formal Methods for Learning-enabled Systems, Formal Methods for Automotive Systems, Formal Methods for Robotics, and Formal Methods for Software Engineering. There will also be a tool demonstration session and panel discussion on trusted autonomy.

Keynote Speakers

"Autonomy Challenges for Future NASA Science and Exploration Missions."

Dr. Butler Hine, Project Manager for the HelioSwarm mission, NASA

"Formal Verification and Run-time Monitoring for Learning-Enabled Autonomous Systems."

Dr. Corina Pasareanu, ACM Distinguished Scientist, NASA Ames and CMU

"Safety under uncertainty: Automotive standards for AI safety and research perspectives."

Dr. Simon Burton, Chair of Systems Safety at University of York

Panel Session

The topic of the discussion will be Trusted Autonomy, chaired by Dr. Guillaume Brat, NASA Ames Research Center.

Panelists:

Dr. Huafeng Yu (Senior Scientist from US Department of Transport)

Dr. Jean-Guillaume Durand (Applied Scientist from Xwing)

Dr. Marco Pavone (Director of Autonomous Vehicle Research at NVIDIA)

Dr. Darren Cofer (Principal Fellow at Collins Aerospace)

For more information about the program, please see https://conf.researchr.org/home/nfm-2024#program.

Registration

There is no registration fee charged to participants. All interested individuals are welcome to attend.

However, all attendees must register here: https://conf.researchr.org/info/nfm-2024/registration

----------------------------------------------------------------------------
Conference Chairs: Nathan Benz, Divya Gopinath, Nija Shi

Contact: nfm24-chairs@lists.nasa.gov

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[DMANET] SAGT 2024: Call for Papers

Dear colleagues,

The 17th International Symposium on Algorithmic Game Theory (SAGT) will be held at Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands, September 3-6, 2024.

Foundational work is solicited on topics including but not limited to:

- Solution Concepts in Game Theory
- Efficiency of Equilibria and Price of Anarchy
- Computational Aspects of Equilibria
- Learning and Dynamics in Games
- Game-Theoretic Aspects of Networks
- Auction Design and Analysis
- Algorithmic Contract Design
- Mechanism Design and Pricing
- Internet Economics and Computational Advertising
- Reputation, Recommendation and Trust Systems
- Economic Aspects of Distributed Computing
- Blockchain and Cryptocurrencies
- Decision Theory and Information Design
- Computational Social Choice and Fair Division
- Market Design and Matching Markets
- Cooperative Game Theory

There will be a SAGT 2024 Best Paper Award, accompanied by a prize of 1000 Euro offered by Springer.


SUBMISSION SERVER AND DEADLINE

Paper submissions will be handled through EasyChair. Please use the following link to submit your paper:

https://easychair.org/conferences/?conf=sagt2024

Submission Deadline: May 21, 2024, 23:59 AoE (extended)

The expectation is that at least one of the authors of each accepted paper will attend SAGT and give a presentation for the work.


SUBMISSION GUIDELINES

Submissions may be up to 18 pages long (excluding title page and references) in single-column format, using at least 11-point fonts, single-spacing between lines, and at least 1-inch margins all around. In addition, an appendix may be included at the end of the paper and will be read at the discretion of the reviewers.

The symposium proceedings will be published by Springer in its LNCS/ARCoSS series. Accepted papers will be allocated at most 18 pages in the proceedings. We recommend that authors use the LNCS format (provided as part of Springer's LaTeX2e package) to prepare their submission, but this is not a requirement for the submission. To accommodate the publishing traditions of different fields, authors of accepted papers can choose to publish a one-page abstract of their paper in the proceedings.


SPECIAL ISSUE

SAGT 2024 will extend invitations to a selection of accepted papers for publication in a dedicated special issue of the ACM Transactions on Economics and Computation (TEAC) (details will be communicated in due course).


Further details on the call for papers, including the program committee members, tutorials and invited speakers can be found on the SAGT 2024 website at https://www.cwi.nl/en/sagt-2024/.

If you have any questions, please feel free to contact us: sagt2024@easychair.org

Best regards,
Guido Schäfer and Carmine Ventre
SAGT 2024 PC Co-Chairs

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[DMANET] Deadline Extended June 3rd: 2024 Intl Workshop on Quantum Data Science and Management @ VLDB

*************************************************************************
CALL FOR PAPERS
International Workshop on Quantum Data Science and Management (QDSM 2024)

In conjunction with VLDB 2024

August 29, 2024, Guangzhou, China (and hybrid)
Submission: June 3, 2024 - Submission deadline has been extended!

Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm
*************************************************************************

** Aims of the Workshop **

The field of quantum computing has experienced remarkable progress
after decades of research and development. Prototypes of quantum
computers already exist and have been made available to users through
cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu
quantum cloud). While fault-tolerant and large-scale quantum computers
are not available yet, the potential of this new technology is
undeniable. Quantum algorithms have the proven ability to either
outperform classical approaches for various tasks or are impossible to
be efficiently simulated by classical means under reasonable
complexity-theoretic assumptions. Even imperfect current-day
technology is speculated to exhibit computational advantages over
classical systems.

For most database researchers, quantum computing and quantum machine
learning are still new research fields. The goal of this workshop is
to bring together academic researchers and industry practitioners from
multiple disciplines (e.g., database, AI, software, physics, etc.) to
discuss the challenges, solutions, and applications of quantum
computing and quantum machine learning that have the potential to
advance the state of the art of data science and data management
technologies. Our purpose is to foster the interaction between
database researchers and more traditional quantum disciplines, as well
as industrial users. The workshop serves as a forum for the growing
quantum computing community to connect with database researchers to
discuss the wider questions and applications of how quantum resources
can benefit data science and data management tasks, and how quantum
software can support this endeavor.

We believe that many unsolved and interesting issues can be found at
boundaries and intersections between different fields and that there
are insufficient venues to publish such cross-disciplinary results. We
also believe that an important aspect of future quantum computing will
concern issues of handling data in one way or another. This workshop
will serve as a venue not only to discuss early, experimental results
in research, but also to feature a demonstration part with the
intention of providing attendees with first-hand experience in using
novel quantum computing techniques that go beyond the simple examples
offered by various web services. This will give researchers a
realistic intuition about quantum computing for data science and data
management tasks.

** Categories of Papers **

The workshop solicits papers of the following categories:
- Research Papers propose new approaches, theories or techniques
related to quantum data science and management including new data
structures, protocols and algorithms. They should make substantial
theoretical and empirical contributions to the research field.
- System Papers describe new systems and whole frameworks for
enabling quantum data science and management.
- Experiments and Analysis Papers focus on the experimental
evaluation of existing approaches including data structures and
algorithms for quantum data science and management and bring new
insights through the analysis of these experiments. Results of
Experiments and Analysis Papers can be, for example, showing the
benefits of well-known approaches in new settings and environments,
opening new research problems by demonstrating unexpected behavior or
phenomena, or comparing a set of traditional approaches in an
experimental survey.
- Application Papers report practical experiences on applications of
quantum data science and management. Application Papers might describe
how to apply quantum technologies to specific application domains.
- Vision Papers identify emerging new or future research issues and
directions and describe new research visions for quantum data science
and management. The new visions will potentially have significant
impacts on society.
- Demo Papers deal with innovative approaches and applications for
quantum data science and management. These papers describe a showcase
of the proposed approach/application. We are especially interested in
demonstrations having a WOW-effect.
The length of papers must be within 5 pages to 10 pages. Accepted
papers will be published in the CEUR Workshop proceedings
(CEUR-WS.org) and presented as oral presentations.


** Topics of Interest **

We are interested in all issues concerning quantum data science and
management such as the following:
- Quantum Computing for problems related to Data Science and Management
- Quantum Data Science
- Quantum Computing for Data Science
- Data Science for Quantum Computing
- Quantum Data Management
- Quantum Computing for Data Management
- Data Management for Quantum Computing
- Quantum Machine Learning
- Quantum Machine Learning Enabled Databases
- Quantum Data Management to Support Machine Learning
- New approaches to Quantum Machine Learning
- Applications for
- Quantum Data Science
- Quantum Data Management
- Quantum Machine Learning
- Quantum Algorithms with applications in Quantum Data Science and Management
- Quantum Software Tools for Quantum Data Science and Management
- Frameworks and APIs
- Programming Languages
- Optimizers of Quantum Programs and Circuits
- Quantum Cryptography and Security for Data Science and Management


** Workshop Chairs **

- Sven Groppe, University of Lubeck, Germany
- Jiaheng Lu, University of Helsinki, Finland
- Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany
- Le Gruenwald, University of Oklahoma, USA

** Publicity Chairs **

- Eleazar Leal, University of Minnesota Duluth, USA


** Proceedings Chairs **

- Valter Uotila, University of Helsinki, Finland

** Program Committee **

- Umut Calikyilmaz, University of Lubeck, Germany
- Maja Franz, OTH Regensburg, Germany
- Srinjoy Ganguly, Woxsen University, India
- Natacha Kuete Meli, University of Lubeck, Germany
- Nitin Nayak, University of Lubeck, Germany
- Jukka K. Nurminen, University of Helsinki, Finland
- IIya Safro, University of Delaware, USA
- Manuel Schonberger, OTH Regensburg, Germany
- Ghanshyam Singh, Malaviya National Institute of Technology Jaipur
(MNIT Jaipur), India
- Valter Uotila, University of Helsinki, Finland
- Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA
- Zhengtong Yan, University of Helsinki, Finland


** Important Dates **

Submission (extended): June 3, 2024
Notification: June 30, 2024
Workshop: August 29, 2024


** Submission **

Authors are invited to submit original, unpublished research papers
that are not being considered for publication in any other forum.

Manuscripts should be formatted using the camera-ready templates in
the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The
length of papers must be within 5 pages to 10 pages.

Accepted papers will be published online in the CEUR Workshop
proceedings (CEUR-WS.org).

We describe manuscript preparation and submission procedure at
https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit

--
Eleazar Leal, Ph.D.
Associate Professor
Dept. of Computer Science | University of Minnesota Duluth
Heller Hall 331
1114 Kirby Drive
Duluth, MN 55812
Tel: (218) 726-8452 | Fax: (218) 726-8240

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[DMANET] PhD position in Graph Algorithms and Parameterized Complexity at Chalmers University of Technology

The department of Computer Science and Engineering at Chalmers University of Technology welcomes application for a PhD position with a focus on graph algorithms and parameterized complexity. The student will be supervised by Dr. Esther Galby. The starting date is from 1st of July 2024 (negotiable).

The main goal is to study the complexity of graph modification problems. The ideal candidate should have a solid background in graph theory and some basic knowledge in parameterized algorithms and complexity.

More information regarding the position and application procedure can be found at https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12806&rmlang=se

Questions about the position are welcome and should be directed to Esther Galby galby@chalmers.se
Application deadline: 21 May


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[DMANET] SAND 2024: Call for participation

Dear colleagues,

The *Symposium on Algorithmic Foundations of Dynamic Networks (SAND)* is
a venue for the presentation and discussion of research on fundamental
aspects of computing in dynamic networks. Focusing on the theory,
design, analysis, and application of computing in dynamic networks, SAND
seeks high-quality results characterized by a marked algorithmic aspect
that shed insights on the computability landscape for dynamic
environments or that can be foundational for practical and impactful
systems.

SAND 2024 will be hosted by the University of Patras, at the Cultural &
Conference Center, Patras University Campus, 26504 Rion, Greece.

Registration:
https://www.ceid.upatras.gr/webpages/sand2024/5_registration/index.html

Accepted papers:
https://www.ceid.upatras.gr/webpages/sand2024/3b_accepted-papers/index.html

Program: https://www.ceid.upatras.gr/webpages/sand2024/3_program/index.html

Best regards,

Arnaud Casteigts and Fabian Kuhn

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Sunday, May 5, 2024

[DMANET] [CFP] IEEE International Conference on E-health Networking, Application & Services 18–20 November 2024, Nara, Japan

*** Please accept our apologies if you receive multiple copies of this
call for paper***

*************************************************************************************

IEEE International Conference on E-health Networking, Application & Services


18–20 November 2024, Nara, Japan

https://healthcom2024.ieee-healthcom.org/

*************************************************************************************

IEEE Healthcom 2024 aims at bringing together interested parties
(universities, research centers, industries and stakeholders) from around
the world working in the healthcare field to exchange opinions, discuss
brand-new ideas, developing innovative and emerging solutions, and
establishing new collaborations.

Healthcare is one of the largest industries with 5-18% of GDPs spent on
health and Care globally. The healthcare budgets of the vast majority of
nations continue to outgrow their GDPs. Social, demographic, economic and
technological factors are the drivers for ever faster changing healthcare
models. While the demographic shifts in the populations display significant
socio-economic challenges they trigger more and more opportunities for
innovators in the areas of sensor technology, the Internet of Things,
Robotics, e-health, m-Health, Cloud Computing and emerging technologies
such as 5G, Big Data, SDNs, NFV, Precision and Personalized Medicine.
However, the integration of innovative technology into society is
associated with a lot of complexities. Social technological alignment and
societal acceptance of technology requires sound solutions with regards to
ethical, legal, social and security challenges.

Authors are cordially invited to submit their original papers within the
eHealth area. The topics include but are not limited to:

l *Signal/Data Processing and Computing For Health Systems*

AI and machine learning for eHealth

Machine and deep learning approaches for Health Data

Generative AI for eHealth

Fog/Edge/Cloud computing for wearable medical devices

Virtual tele-rehabilitation

Biometric analysis (gait analysis, eye-tracking, falls, mHealth)

Signal processing for virus early detection

Bioinformatics

AI for precision medicine

AI-driven drug discovery and development processes

Federated learning for privacy-preserving health data analysis

l *Communications and Networking*

Network coding and error detection/correction

Delay-tolerant, fault-tolerant, and reliable communication

Quality of Service (QoS) and Quality of Experience (QoE)

In-hospital networking, body area and cloud-integrated networking

B5G-based eHealth solutions

Future network designs and deterministic networking for eHealth

Semantic communications for eHealth

Network security for eHealth

l *Medical, Biomedical & Health Communication Systems*

Medical imaging, image compression and detection

Signal processing, data cleansing, management and mining

Smart health and big data

IoT for eHealth and telemedicine

eHealth platforms

Digital platforms for biopharmaceutical clinical trials

l *Devices*

Integration of medical devices with eHealth platforms

Medical device interoperability

Wearable and implantable devices

Device Security & Safety

Wearable devices against virus infection

eDrugs: nano-devices in blood stream

Healthcare devices and circuits for AI

l *Service & Applications*

eHealth services/applications for physical and mental health

eHealth services/applications for sports and exercise

eHealth services/applications for public health (disease prevention,
pandemic preparedness)

eHealth services/applications for extreme environments

mHealth applications and software

Quality of experience (QoE) for eHealth services/applications

Security, privacy and trust for e-Health services/applications

Metaverse and digital twin applications for eHealth

Decision support systems for eHealth

Real-time genomic counseling and testing

Telemedicine services that incorporate genetic counseling and testing

l *Medical Studies*

eHealth case studies & applications

eHealth for neurological diseases

EEG/MEG in brain network analysis

Telehealth in Obstetrician & Gynecology

Cardiology tele-health

Integration of transcranial magnetic stimulation (TMS) with EEG/functional
magnetic resonance imaging (fMRI)

Perspective authors are invited to submit their papers using EDAS. A full
paper should not have more than six (6) IEEE style pages including results,
figures and references. One (1) extra page is allowed with an extra charge
of $85. Papers will be reviewed with the standard reviewing procedure (with
at least 3 independent anonymous reviews). All of the accepted papers will
be published on IEEE Xplore®. Articles selected for publication in journals
must meet the conditions against self-plagiarism.

The submitted manuscripts shall be prepared in LaTeX or Word using the
official IEEE templates. Final submission of the manuscript will be in PDF
format, and make sure that the file will print on a printer that uses
letter size (8.5 x 11) paper. The official language of the meeting is
English.

*Important Dates: *

Paper Submission: 25 May 2024

Notification of Acceptance: 30 August 2024

Final Manuscript (Camera Ready): 30 September 2024

*General Chairs: *

Ruidong Li, Kanazawa University, Japan

Dusit Niyato, Nanyang Technological University, Singapore

*TPC Chairs: *

Payam Barnaghi, Imperial College London, U.K.

Noriaki Kamiyama, Ritsumeikan University, Japan

Danda B. Rawat, Howard University, USA

Peiying Colleen Ruan, NVIDIA, Japan

*Panel Chair: *

Honggang Wang, UMass Dartmouth, USA

*Tutorial Chair:*

Andrea Sciarrone, University of Genoa, Italy

*Workshop Chairs: *

Dapeng Wu, Chongqing University of Posts and Telecommunications, China

Xuyu Wang, Florida International University, USA

*Poster Chairs: *

Chiara Garibotto, University of Genoa, Italy

Guangchi Liu, Southeast University, China

*Publication Chairs: *

Zhicheng Jiao, Brown University, USA

*Financial Chairs:*

Zhe Sun, Juntendo University, Japan

*Publicity Chairs:*

Nada Philip, Kingston University, UK

Yun Lin, Harbin Engineering University, China

Zhengxin Yu, Lancaster University, UK

Junji Takemasa, Osaka University, Japan

*Local Chair: *

Tatsuaki Kimura, Doshisha University, Japan

*Steering Committee Chairs:*

Steering Committee Chair: Shiwen Mao, Auburn University, USA

Steering Committee Vice Chair: Honggang Wang, Yeshiva University, USA

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[DMANET] WAIFI 2024 - registration ends on May 27th, 2024

Dear colleagues,

(apologies for multiple postings)

------------------------------------------

The "International Workshop on the Arithmetic of Finite Fields (WAIFI) 2024", to be held in Ottawa, Canada, June 10-12, 2024, is a forum of mathematicians, computer scientists, engineers and physicists performing research on finite field arithmetic, interested in communicating the advances in the theory, applications, and implementations of finite fields. The workshop will help to bridge the gap between the mathematical theory of finite fields and their hardware/software implementations and technical applications, specially in cryptography and coding theory.

REGISTRATION:

The registration is open and available using this link: https://payments.carleton.ca/math/2024-international-workshop-on-the-arithmetic-of-finite-fields-waifi-2024/

The deadline to register is May 27, 2024.

ACCEPTED PAPERS:

The accepted papers are now available on the workshop website http://www.waifi.org .

------------------------------------------

Kind regards,

José L. Imaña
Complutense University, Madrid, Spain
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Saturday, May 4, 2024

[DMANET] Final CFP 2024 Intl Workshop on Quantum Data Science and Management @ VLDB

*************************************************************************
CALL FOR PAPERS
International Workshop on Quantum Data Science and Management (QDSM 2024)

In conjunction with VLDB 2024

August 29, 2024, Guangzhou, China (and hybrid)
Submission: May 5, 2024

Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm
*************************************************************************

** Aims of the Workshop **

The field of quantum computing has experienced remarkable progress
after decades of research and development. Prototypes of quantum
computers already exist and have been made available to users through
cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu
quantum cloud). While fault-tolerant and large-scale quantum computers
are not available yet, the potential of this new technology is
undeniable. Quantum algorithms have the proven ability to either
outperform classical approaches for various tasks or are impossible to
be efficiently simulated by classical means under reasonable
complexity-theoretic assumptions. Even imperfect current-day
technology is speculated to exhibit computational advantages over
classical systems.

For most database researchers, quantum computing and quantum machine
learning are still new research fields. The goal of this workshop is
to bring together academic researchers and industry practitioners from
multiple disciplines (e.g., database, AI, software, physics, etc.) to
discuss the challenges, solutions, and applications of quantum
computing and quantum machine learning that have the potential to
advance the state of the art of data science and data management
technologies. Our purpose is to foster the interaction between
database researchers and more traditional quantum disciplines, as well
as industrial users. The workshop serves as a forum for the growing
quantum computing community to connect with database researchers to
discuss the wider questions and applications of how quantum resources
can benefit data science and data management tasks, and how quantum
software can support this endeavor.

We believe that many unsolved and interesting issues can be found at
boundaries and intersections between different fields and that there
are insufficient venues to publish such cross-disciplinary results. We
also believe that an important aspect of future quantum computing will
concern issues of handling data in one way or another. This workshop
will serve as a venue not only to discuss early, experimental results
in research, but also to feature a demonstration part with the
intention of providing attendees with first-hand experience in using
novel quantum computing techniques that go beyond the simple examples
offered by various web services. This will give researchers a
realistic intuition about quantum computing for data science and data
management tasks.

** Categories of Papers **

The workshop solicits papers of the following categories:
- Research Papers propose new approaches, theories or techniques
related to quantum data science and management including new data
structures, protocols and algorithms. They should make substantial
theoretical and empirical contributions to the research field.
- System Papers describe new systems and whole frameworks for
enabling quantum data science and management.
- Experiments and Analysis Papers focus on the experimental
evaluation of existing approaches including data structures and
algorithms for quantum data science and management and bring new
insights through the analysis of these experiments. Results of
Experiments and Analysis Papers can be, for example, showing the
benefits of well-known approaches in new settings and environments,
opening new research problems by demonstrating unexpected behavior or
phenomena, or comparing a set of traditional approaches in an
experimental survey.
- Application Papers report practical experiences on applications of
quantum data science and management. Application Papers might describe
how to apply quantum technologies to specific application domains.
- Vision Papers identify emerging new or future research issues and
directions and describe new research visions for quantum data science
and management. The new visions will potentially have significant
impacts on society.
- Demo Papers deal with innovative approaches and applications for
quantum data science and management. These papers describe a showcase
of the proposed approach/application. We are especially interested in
demonstrations having a WOW-effect.
The length of papers must be within 5 pages to 10 pages. Accepted
papers will be published in the CEUR Workshop proceedings
(CEUR-WS.org) and presented as oral presentations.


** Topics of Interest **

We are interested in all issues concerning quantum data science and
management such as the following:
- Quantum Computing for problems related to Data Science and Management
- Quantum Data Science
- Quantum Computing for Data Science
- Data Science for Quantum Computing
- Quantum Data Management
- Quantum Computing for Data Management
- Data Management for Quantum Computing
- Quantum Machine Learning
- Quantum Machine Learning Enabled Databases
- Quantum Data Management to Support Machine Learning
- New approaches to Quantum Machine Learning
- Applications for
- Quantum Data Science
- Quantum Data Management
- Quantum Machine Learning
- Quantum Algorithms with applications in Quantum Data Science and Management
- Quantum Software Tools for Quantum Data Science and Management
- Frameworks and APIs
- Programming Languages
- Optimizers of Quantum Programs and Circuits
- Quantum Cryptography and Security for Data Science and Management


** Workshop Chairs **

- Sven Groppe, University of Lubeck, Germany
- Jiaheng Lu, University of Helsinki, Finland
- Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany
- Le Gruenwald, University of Oklahoma, USA

** Publicity Chairs **

- Eleazar Leal, University of Minnesota Duluth, USA


** Proceedings Chairs **

- Valter Uotila, University of Helsinki, Finland

** Program Committee **

- Umut Calikyilmaz, University of Lubeck, Germany
- Maja Franz, OTH Regensburg, Germany
- Srinjoy Ganguly, Woxsen University, India
- Natacha Kuete Meli, University of Lubeck, Germany
- Nitin Nayak, University of Lubeck, Germany
- Jukka K. Nurminen, University of Helsinki, Finland
- IIya Safro, University of Delaware, USA
- Manuel Schonberger, OTH Regensburg, Germany
- Ghanshyam Singh, Malaviya National Institute of Technology Jaipur
(MNIT Jaipur), India
- Valter Uotila, University of Helsinki, Finland
- Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA
- Zhengtong Yan, University of Helsinki, Finland


** Important Dates **

Submission: May 5, 2024
Notification: June 30, 2024
Workshop: August 29, 2024


** Submission **

Authors are invited to submit original, unpublished research papers
that are not being considered for publication in any other forum.

Manuscripts should be formatted using the camera-ready templates in
the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The
length of papers must be within 5 pages to 10 pages.

Accepted papers will be published online in the CEUR Workshop
proceedings (CEUR-WS.org).

We describe manuscript preparation and submission procedure at
https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit


--
Eleazar Leal, Ph.D.
Associate Professor
Dept. of Computer Science | University of Minnesota Duluth
Heller Hall 331
1114 Kirby Drive
Duluth, MN 55812
Tel: (218) 726-8452 | Fax: (218) 726-8240

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[DMANET] EURO WISDOM YW4OR Webinar on Machine Learning and Operations Management, May 17, 2024, 15:00 – 16:00 (CET)

EURO WISDOM YW4OR Webinar on Machine Learning and Operations Management, May 17, 2024, 15:00 – 16:00 (CET)

Please join us
What: EURO WISDOM YW4OR Webinar on Machine Learning and Operations Management
When: May 17, 2024, 15:00 – 16:00 (CET)
Where: Zoom - to receive the Zoom link register in this Google Form,
https://forms.gle/mb144VbsY2fp2TBG6

Agenda

YW4OR Speakers
Shany Azaria, University of Toronto, Canada
Fatima Ezzahra Achamrah, University of Sheffield, United Kingdom
Kseniia Kurishchenko, Copenhagen Business School, Denmark

Expert panelist
Prof. Coralia Cartis, University of Oxford, United Kingdom

The EURO WISDOM is a forum to support, empower, and encourage the participation of all genders in Operational Research and Management Science. It is an initiative supported by EURO, the Association of European Operational Research Societies. Please visit: https://www.euro-online.org/web/pages/1654/wisdom.
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[DMANET] PODC 2024: Call for Participation

Hello everyone!

The registration for PODC 2024 (ACM Symposium on Principles of Distributed
Computing) is now open, the early bird registration *deadline* is *May 26*.

https://www.podc.org/podc2024/registration/

The list of accepted papers:
https://www.podc.org/podc2024/list-of-accepted-papers/.

The list of workshops and their schedule:
https://www.podc.org/podc2024/workshops-and-tutorials/.

*Important:*
For students there are travel grants:
https://www.podc.org/podc2024/student-travel-grant/.

Hope to see you in Nantes!

Regards,
Fabien Dufoulon and Vitaly Aksenov, PODC publicity chairs

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[DMANET] Associate professorship in computer science and informatics at CTU Prague

Dear colleagues,

On behalf of the Department of Software Engineering of the Faculty of Nuclear
Sciences and Physical Engineering at the Czech Technical University in Prague,
I am forwarding information about the following job opening:


The Dean of the Faculty of Nuclear Sciences and Physical Engineering, Czech
Technical University in Prague, invites applications for an associate professor
(Established Researcher R3 or Leading Researcher R4) at the Department of
Software Engineering. The call is open to exceptional candidates from all areas
of research in Computer Science and Informatics that, in particular, include
Software Engineering, Applied Informatics, Machine Learning and Artificial
Intelligence, Mathematical Optimization, Software Optimization, Distributed,
Parallel and Cluster Computing, Computational Geometry, Computer Graphics,
Computer Vision, or Virtual Reality and Human-Computer Interaction.

The candidate is expected to conduct scientific research, software development,
other creative activities, and to participate in teaching courses in the
aforementioned areas.

The start date is subject to mutual agreement, with the preferred date being
the first half of 2025.

More information: https://eud.is.cvut.cz/pub/deska/36000002/ifis/3394/02/inzer%C3%A1t%20Docent%20AJ.pdf

To submit the application or for any informal inquiries, please use the email
contact of the corresponding department <ksi@fjfi.cvut.cz>. The closing date
for the applications is October 31, 2024.


Best regards,

Jan Volec
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Friday, May 3, 2024

[DMANET] XVI Madrid UPM Machine Learning and Advanced Statistics Summer School (June 17th - June 28th, 2024) - Early registration reminder

Dear colleagues,

We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 19th to June 30th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.

Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/MLAS

There is a 25% discount for members of Spanish AEPIA and SEIO societies.

Please, forward this information to your colleagues, students, and whomever you think may find it interesting.

Best regards,

Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga.
-- School coordinators.

*** List of courses and brief description ***

* Week 1 (June 19th - June 23rd, 2023) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R.

Course 2: Time Series(15 h)
Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.

2nd session: 13:45-16:45
Course 3: Supervised Classification (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python.

Course 4: Statistical Inference (15 h)
Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Images. Deep Learning for Text. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow.

Course 6: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.

* Week 2 (June 26th - June 30th, 2023) *

1st session: 9:45-12:45

Course 7: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python.

Course 8: Clustering (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R.

2nd session: 13:45-16:45
Course 9: Gaussian Processes and Bayesian Optimization (15 h)
Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch.

Course 10: Explainable Machine Learning (15 h)
Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Model-specific explanations: Bayesian networks. Other topics. Practical demonstration: R.

3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn.

Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

If you wish to stop receiving emails regarding the Madrid UPM Machine Learning and Advanced Statistics summer school, please reply to this email with the title STOP.

Dear colleagues,

We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May, 27th (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 17th to June 28th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.

Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/MLAS

There is a 25% discount for members of Spanish AEPIA and SEIO societies.

Please, forward this information to your colleagues, students, and whomever you think may find it interesting.

Best regards,

Pedro Larrañaga, Concha Bielza, Bojan Mihaljević and Laura Gonzalez Veiga.
-- School coordinators.

*** List of courses and brief description ***

# Week 1 (June 17th - June 23rd, 2024)

## 1st session: 9:45-12:45

### Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R.

### Course 2: Time Series(15 h)
Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.

## 2nd session: 13:45-16:45

### Course 3: Supervised Classification (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: python.

### Course 4: Statistical Inference (15 h)
Introduction. Some basic statistical tests. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.

## 3rd session: 17:00 - 20:00

### Course 5: Deep Learning (15 h)
Introduction. Learning algorithms. Learning in deep networks. Deep Learning for Computer Vision. Deep Learning for Language. Practical session: Python notebooks with Google Colab with keras, Pytorch and Hugging Face Transformers.

### Course 6: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.

# Week 2 (June 26th - June 28th, 2024)

## 1st session: 9:45-12:45

### Course 7: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and python.

### Course 8: Clustering (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R.

## 2nd session: 13:45-16:45

### Course 9: Gaussian Processes and Bayesian Optimization (15 h)
Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Introduction to Bayesian optimization. Bayesian optimization in complex scenarios. Practical demonstration: python using GPytorch and BOTorch.

### Course 10: Explainable Machine Learning (15 h)
Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab.

## 3rd session: 17:00-20:00

### Course 11: SVMs, Kernel Methods and Regularized Learning (15 h)
Regularized learning. Kernel methods. SVM models. SVM learning algorithms. Practical session: Python Anaconda with scikit-learn.

### Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.


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